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RecSOI: recommending research directions using statements of ignorance.
Bibal, Adrien; Salem, Nourah M; Cardon, Rémi; White, Elizabeth K; Acuna, Daniel E; Burke, Robin; Hunter, Lawrence E.
Afiliación
  • Bibal A; University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA. dr.adrien.bibal@gmail.com.
  • Salem NM; University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
  • Cardon R; University of Louvain, Louvain-la-Neuve, Belgium.
  • White EK; University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
  • Acuna DE; University of Colorado Boulder, Boulder, Colorado, USA.
  • Burke R; University of Colorado Boulder, Boulder, Colorado, USA.
  • Hunter LE; University of Chicago, Chicago, Illinois, USA.
J Biomed Semantics ; 15(1): 2, 2024 Apr 22.
Article en En | MEDLINE | ID: mdl-38650032
ABSTRACT
The more science advances, the more questions are asked. This compounding growth can make it difficult to keep up with current research directions. Furthermore, this difficulty is exacerbated for junior researchers who enter fields with already large bases of potentially fruitful research avenues. In this paper, we propose a novel task and a recommender system for research directions, RecSOI, that draws from statements of ignorance (SOIs) found in the research literature. By building researchers' profiles based on textual elements, RecSOI generates personalized recommendations of potential research directions tailored to their interests. In addition, RecSOI provides context for the recommended SOIs, so that users can quickly evaluate how relevant the research direction is for them. In this paper, we provide an overview of RecSOI's functioning, implementation, and evaluation, demonstrating its effectiveness in guiding researchers through the vast landscape of potential research directions.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Investigación Biomédica Límite: Humans Idioma: En Revista: J Biomed Semantics Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Investigación Biomédica Límite: Humans Idioma: En Revista: J Biomed Semantics Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos